Jr. Quality Data Support Engineer

Hinduja Tech Limited; Auburn Hills (MI); On-site; USD 60,000 - 75,000; Full time

Job summary

Hinduja Tech Limited in Auburn Hills, MI, seeks a Quality Data Support Engineer to back automotive quality engineering through data collection, analysis, reporting, and documentation. You will help monitor quality performance, track issues, and support continuous improvement across manufacturing and engineering operations.

The role favors detail-oriented, analytical candidates eager to learn and build a career in automotive quality engineering, with opportunities to work with Quality,

Qualifications

• Bachelor's degree in Industrial, Mechanical, Manufacturing Engineering, or related field.
• 1+ year of experience in quality, manufacturing, data analysis, or engineering support. Recent graduates welcome.
• Basic knowledge of manufacturing processes and quality principles.
• Proficiency in Microsoft Excel, including spreadsheets, formulas, and data organization.
• Strong analytical skills and attention to detail.
• Good organizational, communication, and problem-solving skills.
• Ability to work collaboratively in a team environment.

Responsibilities

• Collect, organize, validate, and maintain quality data from manufacturing and engineering systems.
• Assist in analyzing quality metrics, including defect rates, scrap, rework, and non-conformance reports.
• Prepare and update quality reports, dashboards, and KPIs.
• Support Quality Engineers in tracking quality issues and documenting corrective actions.
• Assist with root cause analysis and problem-solving activities.
• Monitor quality trends and identify recurring issues or opportunities for improvement.
• Maintain accurate quality documentation and records.
• Collaborate with Quality, Manufacturing, Production, and Engineering teams to ensure data accuracy.
• Support internal quality reviews and continuous improvement initiatives.
• Perform additional data management and reporting tasks as required.

Skills

Analytical thinking

Attention to detail

Teamwork

Communication

Problem-solving

Excel proficiency

Education

Bachelor's degree in Industrial/Mechanical/Manufacturing Engineering or related field

Tools

Power BI

Excel

Job description

We are seeking a Quality Data Support Engineer to support automotive quality engineering activities through data collection, analysis, reporting, and documentation. This role will assist the quality team in monitoring quality performance, tracking issues, identifying trends, and supporting continuous improvement initiatives across manufacturing and engineering operations.

The ideal candidate is detail-oriented, analytical, eager to learn, and interested in developing a career in automotive quality engineering.

Key Responsibilities

• Collect, organize, validate, and maintain quality data from manufacturing and engineering systems.
• Assist in analyzing quality metrics, including defect rates, scrap, rework, and non-conformance reports.
• Prepare and update quality reports, dashboards, and key performance indicators (KPIs).
• Support Quality Engineers in tracking quality issues and documenting corrective actions.
• Assist with root cause analysis and problem-solving activities.
• Monitor quality trends and identify recurring issues or opportunities for improvement.
• Maintain accurate quality documentation and records.
• Collaborate with Quality, Manufacturing, Production, and Engineering teams to ensure data accuracy.
• Support internal quality reviews and continuous improvement initiatives.
• Perform additional data management and reporting tasks as required.

Required Qualifications

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field.
• +1 year of experience in quality, manufacturing, data analysis, or engineering support. (Recent graduates are welcome)
• Basic knowledge of manufacturing processes and quality principles.
• Proficiency in Microsoft Excel, including spreadsheets, formulas, and data organization.
• Strong analytical skills and attention to detail.
• Good organizational, communication, and problem-solving skills.
• Ability to work collaboratively in a team environment.

Preferred Qualifications

• Internship or entry-level experience in the automotive industry.
• Basic knowledge of automotive quality tools, such as 5 Whys, Fishbone Diagram, Pareto Analysis, and 8D.
• Familiarity with quality standards such as IATF 16949.
• Basic experience with Power BI or other data visualization tools.